Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174F13FE1D054EE7B076385C9F7B5AF5BB291C309CB07094193F883ABABCAD60CB11599 |
|
CONTENT
ssdeep
|
96:TkdNnbzH71tDPUqwLSS8ct7jEwvF5SeeiXJHF9eRX6X/J7t72Fytg06bt7qWhJ:QTnbzH715PUqwJVtjakXhgFy60kRn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec13931b93134b |
|
VISUAL
aHash
|
fff3f3f3ffff0000 |
|
VISUAL
dHash
|
2626262727001e20 |
|
VISUAL
wHash
|
f3c3d3d3d1ff0000 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
2606262627233a16,0000000000000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 59 techniques to evade detection by security scanners and make reverse engineering more difficult.